Calais 4.0 has arrived!

On the one year anniversary of our debut, we are extremely pleased to announce the debut of Calais 4.0. With more than 9,000 of you processing 1+million documents per day, it was time to take Calais to the next level.

It also introduces a global metadata transport layer that makes it easy for you to share rich semantic metadata with such content consumers as search engines, news aggregators, 'related stories' recommendation services, etc. to reach downstream readers.

Calais 4.0 in practice:

With Calais 4.0, each document - and every significant semantic element within that document - is assigned a unique identifier (a 'uniform resource identifier or URI). These identifiers are returned to the content owner along with the rest of the metadata that Calais discovered.

Unlike simple "tagging" solutions, the rich semantic metadata Calais returns can be used to enhance publishers' content for improved search, navigation, ad placement and syndication. Each of the semantic elements Calais 4.0 discovers also provides a key to unlocking additional content assets in the Linked Data ecosystem.

Finally, the unique document and entity identifiers returned by Calais can be shared with content partners and content consumers like search engines, etc. to enable the seamless transfer of not just content, but of the underlying meaning and relevance of that content.

I saw a presentation of Calais at the NY Semantic Meetup last night; very impressive. Seems that their team has been hard at work on some very interesting items. And having Thomson Reuters behind is tremendous. Great to see continued innovation from the Calais team. We evaluated Calais a few months ago. Extraction accuracy was okay, but didn't meet the reqs for our use case by that time. The Linked Data support makes it a lot more attractive now.

The page you're linking to is a URI - our Linked Data endpoint for the company entity IBM.

These types of pages (for a wide range of entities) are produced by Calais when we detect the entity in the text you send us. If for example you sent a news article mentioing IBM (and this was the first time we'd seen IBM) we would create this linked data page.